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Our algorithm for designing a set of stairs will be to: Divide the total rise by 7 in and round the result to the nearest whole number to get the number of steps We will then divide the total run by (the number of steps 1) (see Fig 2-1) to compute the run for each step We will apply one of the formulas to see how close this pair of rise and run parameters is to the ideal Then we will complete the same computations with one more step and one less step, and also compute the values of the formula for those combinations of rise and run 5 We will accept the combination of rise and run that best fits the formula for the ideal An algorithm is a way of solving a type of problem, and an algorithm is applicable to many particular instances of the problem.

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10.5 10.6

A good algorithm is a tool that can be used over and over again, as is the case for our staircase design algorithm..

d The path length of a full tree of order d and height h is ------------------ h d h + 1 h + 1 d + 1 . For example, d 1 2 the path length of the full tree on Figure 10.4 on page 188 is 102.

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The tree diagram analysis of the St. Petersburg Paradox is shown in Figure 10.15. The flaw in this strategy is that there is a distinct possibility (i.e., a positive probability) that enough tails could come up in a row to make the required bet exceed the bettor s stake. After n successive tails, the bettor must bet $2n. For example, if 20 tails come up in a row, the next bet will have to be more than a million dollars!

1 2 3 4

10.7 10.8

The decision tree for the version of craps where 3 can be a point is shown in Figure 10.16. The probability that X wins this version is 0.5068 or 50.68 percent. The decision tree in Figure 10.17 shows all possible outcomes from the algorithm that solves the 7coin problem.

CHAP. 2]

CHAP. 10]

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DEFINITIONS Here is the recursive definition of a binary tree: A binary tree is either the empty set or a triple T = (x, L, R), where x is a node and L and R are disjoint binary trees, neither of which contains x. The node x is called the root of the tree T, and the subtrees L and R are called the left subtree and the right subtree of T rooted at x. Comparing this definition with the one on page 186, it is easy to see that a binary tree is just an ordered tree of order 2. But be aware that an empty left subtree is different from an empty right subtree. (See Example 10.5 on Figure 11.1 Unequal binary trees page 191.) Consequently, the two binary trees shown Figure 11.1 are not the same. Here is an equivalent, nonrecursive definition for binary trees: A binary tree is an ordered tree in which every internal node has degree 2. In this simpler definition, the leaf nodes are regarded as dummy nodes whose only purpose is to define the structure of the tree. In applications, the internal nodes would hold data, while the leaf nodes would be either identical empty nodes, a single empty node, or just the null reference. This may seem inefficient and Figure 11.2 Equal binary trees more complex, but it is usually easier to implement. In Figure 11.2, the dummy leaf nodes in the tree on the right are shown as asterisks.

Figure 2-1 Staircase dimensions EXAMPLE FINDING THE GREATEST COMMON DENOMINATOR In mathematics, a famously successful and useful algorithm is Euclid s algorithm for finding the greatest common divisor (GCD) of two numbers The GCD is the largest integer that will evenly divide the two numbers in question Euclid described his algorithm about 300 BCE Without having Euclid s algorithm, how would one find the GCD of 372 and 84 One would have to factor the two numbers, and find the largest common factor As the numbers in question become larger and larger, the factoring task becomes more and more difficult and time-consuming.

CHAP. 11]

Except where noted, in this book we adhere to the first definition for binary trees. So some internal nodes may have only one child, either a left child or a right child. The definitions of the terms size, path, length of a path, depth of a node, level, height, interior node, ancestor, descendant, subtree, and supertree are the same for binary trees as for general trees. (See page 186.) EXAMPLE 11.1 Characteristics of a Binary Tree

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